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Associate Quantitative Analyst Jobs (NOW HIRING)

Also develops and documents the quantitative tools used to quantify credit risk, provide early ... Performs ad hoc analyses as requested by management. * Leads the implementation planning and ...

This role will be responsible for providing analytical/quantitative input to help develop ... For more information about Associate benefits, please visit WSFS Bank is inclusive and supportive ...

This role will be responsible for providing analytical/quantitative input to help develop ... For more information about Associate benefits, please visit WSFS Bank is inclusive and supportive ...

Quantitative Risk Analyst

Philadelphia, PA ยท On-site

$64K - $105K/yr

This role will be responsible for providing analytical/quantitative input to help develop ... For more information about Associate benefits, please visit WSFS Bank is inclusive and supportive ...

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Associate Quantitative Analyst information

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How much do associate quantitative analyst jobs pay per month?

As of Aug 19, 2026, the average monthly pay for associate quantitative analyst in the United States is $6,290.58, according to ZipRecruiter salary data. Most workers in this role earn between $5,708.33 and $6,708.33 per month, depending on experience, location, and employer.

What does an associate quantitative analyst do?

An Associate Quantitative Analyst is responsible for applying mathematical, statistical, and analytical methods to financial and risk management problems. Their tasks often include building financial models, analyzing large datasets, and supporting senior analysts or portfolio managers with data-driven insights. They typically use programming languages like Python, R, or MATLAB to develop algorithms and test investment strategies. Associate Quantitative Analysts play a crucial role in helping organizations make data-informed decisions in areas such as trading, asset management, and risk assessment.

What are the key skills and qualifications needed to thrive as an associate quantitative analyst?

To thrive as an Associate Quantitative Analyst, you need strong analytical skills, advanced proficiency in mathematics and statistics, and typically a degree in a quantitative field such as mathematics, statistics, finance, or engineering. Familiarity with programming languages like Python or R, experience with statistical modeling tools, and knowledge of data analysis platforms are commonly required. Attention to detail, problem-solving ability, and effective communication skills help you interpret data and collaborate with team members. These skills are crucial for developing accurate models, providing actionable insights, and supporting data-driven decision-making in complex financial environments.

What are some common challenges an associate quantitative analyst faces when transitioning from academia to industry?

One common challenge for Associate Quantitative Analysts moving from academia to industry is adapting to the fast-paced, results-driven environment where deadlines and business impacts are prioritized over theoretical exploration. Unlike academic research, industry projects often require quick, practical solutions and effective communication with non-technical stakeholders. Additionally, analysts may need to balance multiple projects simultaneously and collaborate closely with teams such as risk management, IT, and trading desks. Developing strong project management and communication skills can help ease this transition.

What is the difference between Associate Quantitative Analyst vs Quantitative Analyst?

AspectAssociate Quantitative AnalystQuantitative Analyst
Required CredentialsBachelor's degree in finance, mathematics, or related field; some roles may require a master'sBachelor's or master's degree in quantitative fields; often more experience required
Work EnvironmentEntry-level position in finance or investment firms, supporting senior analystsMid-level role, involved in developing models and strategies in finance firms
Employer & Industry UsageCommon in asset management, hedge funds, investment banksUsed across similar financial institutions, often as a step toward senior roles

The Associate Quantitative Analyst typically holds an entry-level position with a focus on supporting quantitative teams, while a Quantitative Analyst usually has more experience and takes on more complex modeling tasks. Both roles are essential in financial analysis, but the associate role often serves as a stepping stone to becoming a full Quantitative Analyst.

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Infographic showing various Associate Quantitative Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 29% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $75,487 per year, or $36.3 per hour.

Quantitative Analyst, Quantitative Strategies Group

Cross River

Fort Lee, NJ โ€ข On-site

$150K - $200K/yr

Full-time

Re-posted 8 days ago


Job description

Who We Are

Cross River builds the infrastructure behind the world's most innovative financial products. Our technology and capital solutions power payments, cards, lending, and digital asset capabilities that move money safely, instantly, and inclusively - trusted by leading fintechs, enterprises, and disruptors across the globe.

Our mission is simple: to build the financial infrastructure that expands access and opportunity for all. Guided by a culture of collaboration, curiosity, and purpose, Cross River has been named one of American Banker'sย Best Places to Work in Fintech year after year. Whether you're designing code, solving regulatory puzzles, or developing strategy, you'll join a team where innovation and integrity drive everything we do - and where your work helps shape the future of finance.

What We're Looking For

The Quantitative Strategies Group (QSG) at Cross River is seeking an Associate/AVP, Quant Strategist to join its growing team. The team sits within the Capital Solutions Group (CSG) and serves as a centralized function for investment intelligence and quantitative decision making across investment, structuring, and portfolio management initiatives. The role sits at the intersection of structured finance, investment strategy, and advanced analytics - bridging the gap between raw data and capital decisions.

The role will work closely with the Structured Products Group (SPG) and Principal Finance Group (PFG) to support investment underwriting, new deal origination, term ABS issuance/advisory, and active portfolio management. The ideal candidate will combine strong analytical and technical skills with commercial judgement - someone who can analyze collateral performance, understand relevant risk factors, form a view on underlying assets, build scalable analytical tools, and translate complex quantitative outputs into clear investment recommendations. This is a high-impact role for someone who wants exposure to live transactions, structured credit markets, and data-driven decision-making.

Responsibilities:

  • Work closely with SPG and PFG to provide quantitative and analytical insights across investment opportunities, ABS securitizations, and structured credit transactions - from deal inception through execution
  • Support capital commitment objectives through systematic underwriting of investment opportunities. Deliver refined and polished views on analytics, base/stress assumptions, and cashflow models that accurately capture the risk/reward dynamics of potential trades
  • Support investment advisory mandates by producing market-ready analytics, comparative deal analyses, and performance benchmarks that help articulate differentiated value proposition to clients and counterparties
  • Develop and maintain analytical frameworks to evaluate collateral pools, form views on key pricing assumptions (e.g., prepayment speeds, default/loss curves), and deliver actionable insights that inform deal economics and structuring decisions
  • Translate quantitative outputs into clear/concise narratives and presentation materials that support pitch efforts, client discussions, and internal committees
  • Partner with the team to identify, prioritize, and integrate high-impact AI use cases across workflows. Explore and implement AI-driven approaches to collateral analysis using LLMs and Python based tools
  • Partner with other functions within CSG and across the bank to ensure consistency in assumptions, methodologies, and market intelligence used across the group

Qualifications:

  • Master's degree in financial engineering, math, statistics, computer science, or any another quantitative/analytical field required
  • 3+ years of experience in Structured Finance, Securitization, or broader Fixed Income markets is required. Direct exposure to ABS products is strongly preferred
  • Strong understanding of cashflow modeling and securitization mechanics - deal waterfalls, tranche structures, collateral performance analysis is preferred
  • Proficiency in advanced excel & programming is required for this role. Hands-on experience in Python & SQL is critical for success
  • Excellent communication and presentation skills - ability to distill complex analytics into clear, persuasive narratives for both internal stakeholders and external counterparties
  • Builder's mentality - someone who doesn't just use existing tools but actively seeks to improve how the team works by introducing new technologies, frameworks, and AI-driven efficiencies
  • Ability to thrive in a fast-paced, deal-driven environment with competing priorities and tight turnaround times
  • Detail-oriented with strong organizational skills and a proactive, ownership-driven mindset

#LI-JJ1 #LI-Hybrid #LI-Onsite

Salary Range: $150,000.00 - $200,000.00